Noam D. Beckmann

12.3k total citations · 1 hit paper
12 papers, 807 citations indexed

About

Noam D. Beckmann is a scholar working on Physiology, Molecular Biology and Genetics. According to data from OpenAlex, Noam D. Beckmann has authored 12 papers receiving a total of 807 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Physiology, 5 papers in Molecular Biology and 2 papers in Genetics. Recurrent topics in Noam D. Beckmann's work include Alzheimer's disease research and treatments (4 papers), Bioinformatics and Genomic Networks (3 papers) and Glycosylation and Glycoproteins Research (1 paper). Noam D. Beckmann is often cited by papers focused on Alzheimer's disease research and treatments (4 papers), Bioinformatics and Genomic Networks (3 papers) and Glycosylation and Glycoproteins Research (1 paper). Noam D. Beckmann collaborates with scholars based in United States, United Kingdom and Germany. Noam D. Beckmann's co-authors include Eric E. Schadt, Sam Gandy, Michelle E. Ehrlich, Joel T. Dudley, Paul Shannon, Vahram Haroutunian, Jean‐Vianney Haure‐Mirande, Winnie S. Liang, Matthew A. Richards and Mary Sano and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Neuron.

In The Last Decade

Noam D. Beckmann

12 papers receiving 799 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Multiscale Analysis of Independent Alzheimer’s Cohorts Finds Disruption of Molecular, Genetic, and Clinical Networks by Human Herpesvirus

2018 471 citations Ben Readhead, Jean‐Vianney Haure‐Mirande et al. Neuron profile →

Peers

Noam D. Beckmann

PHYSI

MB

NEURO

EPIDE

BP

Giovanna De Luca Italy

Jessica Lynch United States

Shongshan Fan United States

Bao‐Xi Qu United States

Francesca La Rosa Italy

Xiao Luo China

Suk Ling Hong Kong

Martina Chiappelli Italy

Priya Prakash United States

Mariavaleria Pellicanò Italy

Giovanna De Luca Italy

Noam D. Beckmann

152 ×0.5

PHYSI

208 ×0.8

MB

175 ×0.9

NEURO

48 ×0.3

EPIDE

84 ×0.6

BP

Citations per year, relative to Noam D. Beckmann Noam D. Beckmann (= 1×) peers Giovanna De Luca

Countries citing papers authored by Noam D. Beckmann

Since Specialization

Citations

This map shows the geographic impact of Noam D. Beckmann's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Noam D. Beckmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noam D. Beckmann more than expected).

Fields of papers citing papers by Noam D. Beckmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Noam D. Beckmann. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Noam D. Beckmann. The network helps show where Noam D. Beckmann may publish in the future.

Co-authorship network of co-authors of Noam D. Beckmann

This figure shows the co-authorship network connecting the top 25 collaborators of Noam D. Beckmann. A scholar is included among the top collaborators of Noam D. Beckmann based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Noam D. Beckmann. Noam D. Beckmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

1.

Audrain, Mickaël, Xiaodong Zhu, Qian Wang, et al.. (2024). Dual-specificity protein phosphatase 6 (DUSP6) overexpression reduces amyloid load and improves memory deficits in male 5xFAD mice. Frontiers in Aging Neuroscience. 16. 1400447–1400447. 1 indexed citations

2.

Tieri, David, Oscar L. Rodriguez, Nancy Francoeur, et al.. (2023). FLAIRR-Seq: A Method for Single-Molecule Resolution of Near Full-Length Antibody H Chain Repertoires. The Journal of Immunology. 210(10). 1607–1619. 15 indexed citations

3.

Charney, Alexander W., et al.. (2023). 35. PROFILING THE NEUROBIOLOGY UNDERLYING BRAIN STRUCTURE IN LIVING HUMAN SUBJECTS. European Neuropsychopharmacology. 75. S75–S76. 1 indexed citations

4.

Audrain, Mickaël, Xiaodong Zhu, Qian Wang, et al.. (2022). Dual-Specificity Protein Phosphatase 4 (DUSP4) Overexpression Improves Learning Behavior Selectively in Female 5xFAD Mice, and Reduces β-Amyloid Load in Males and Females. Cells. 11(23). 3880–3880. 10 indexed citations

5.

Gaamouch, Farida El, Mickaël Audrain, Wei‐Jye Lin, et al.. (2020). VGF-derived peptide TLQP-21 modulates microglial function through C3aR1 signaling pathways and reduces neuropathology in 5xFAD mice. Molecular Neurodegeneration. 15(1). 4–4. 65 indexed citations

6.

Carcamo‐Orive, Ivan, Marc Henrion, Kuixi Zhu, et al.. (2020). Predictive network modeling in human induced pluripotent stem cells identifies key driver genes for insulin responsiveness. PLoS Computational Biology. 16(12). e1008491–e1008491. 10 indexed citations

7.

Readhead, Ben, Jean‐Vianney Haure‐Mirande, Cory C. Funk, et al.. (2018). Multiscale Analysis of Independent Alzheimer’s Cohorts Finds Disruption of Molecular, Genetic, and Clinical Networks by Human Herpesvirus. Neuron. 99(1). 64–82.e7. 471 indexed citations breakdown →

8.

Watson, Corey T., Ariella Cohain, Robert S. Griffin, et al.. (2017). Integrative transcriptomic analysis reveals key drivers of acute peanut allergic reactions. Nature Communications. 8(1). 1943–1943. 63 indexed citations

9.

Rykunov, Dmitry, Noam D. Beckmann, Hui Li, et al.. (2016). A new molecular signature method for prediction of driver cancer pathways from transcriptional data. Nucleic Acids Research. 44(11). e110–e110. 14 indexed citations

10.

Epel, Elissa S., Eli Puterman, Jue Lin, et al.. (2016). Meditation and vacation effects have an impact on disease-associated molecular phenotypes. Translational Psychiatry. 6(8). e880–e880. 75 indexed citations

11.

Glicksberg, Benjamin S., Li Li, Marcus A. Badgeley, et al.. (2016). Comparative analyses of population-scale phenomic data in electronic medical records reveal race-specific disease networks. Bioinformatics. 32(12). i101–i110. 35 indexed citations

12.

Kollerits, Barbara, Stefan Coassin, Noam D. Beckmann, et al.. (2009). Genetic evidence for a role of adiponutrin in the metabolism of apolipoprotein B-containing lipoproteins. Human Molecular Genetics. 18(23). 4669–4676. 47 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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